scholarly journals Mobile Service Clouds: A Self-Managing Infrastructure for Autonomic Mobile Computing Services

Author(s):  
Farshad A. Samimi ◽  
Philip K. McKinley ◽  
S. Masoud Sadjadi
Author(s):  
Parkavi R ◽  
Priyanka C ◽  
Sujitha S. ◽  
Sheik Abdullah A

Mobile Cloud Computing (MCC) which combines mobile computing and cloud computing, has become one of the industry ring words and a major conversation thread in the IT world with an explosive development of the mobile applications and emerging of cloud computing idea, the MCC has become a possible technology for the mobile service users. The concepts of Cloud computing are naturally meshed with mobile devices to allow on-the-go functionalities and benefits. The mobile cloud computing is emerging as one of the most important branches of cloud computing and it is expected to expand the mobile ecosystems. As more mobile devices enter the market and evolve, certainly security issues will grow as well. Also, enormous growth in the variety of devices connected to the Internet will further drive security needs. MCC provides a platform where mobile users make use of cloud services on mobile devices. The use of MCC minimizes the performance, compatibility, and lack of resources issues in mobile computing environment.


2009 ◽  
pp. 1929-1936 ◽  
Author(s):  
Robert Willis ◽  
Alexander Serenko ◽  
Ofir Turel

The purpose of this chapter is to discuss the effect of contractual obligations between users and providers of mobile services on customer loyalty. One of the unique characteristics of mobile commerce that distinguishes it from most other goods and services is the employment of long-term contractual obligations that users have to accept to utilize the service. In terms of over-the-counter products, sold in one-time individual transactions in wellestablished markets, a strong body of knowledge exists that suggests that businesses may enhance loyalty through the improvement of quality and customer satisfaction levels. With respect to mobile commerce, however, this viewpoint may not necessarily hold true given the contractual nature of business-customer relationships. In the case of mobile computing, it is suggested that loyalty consists of two independent yet correlated constructs that are influenced by different factors: repurchase likelihood and price tolerance. Repurchase likelihood is defined as a customer’s positive attitude towards a particular service provider that increases the likelihood of purchasing additional services or repurchasing the same services in the future (e.g., after the contract expires). For example, when people decide to purchase a new mobile phone, they are free to choose any provider they want. In other words, repurchase likelihood is not affected by contractual obligations. In contrast, price tolerance corresponds to a probability of staying with a current provider when it increases or a competitor decreases service charges. In this situation, individuals have to break the existing contractual obligations. Currently, there is empirical evidence to suggest that the discussion above holds true in terms of mobile computing. However, there are few well-documented works that explore this argument in depth. This chapter attempts to fill that void. This chapter will present implications for both scholarship and practice. In terms of academia, it is believed that researchers conducting empirical investigations on customer loyalty with mobile services should be aware of the two independent dimensions of the business-customer relationship and utilize appropriate research instruments to ensure the unidimensionality of each construct. With regards to practice, it is suggested that managers and marketers be aware of the differences between repurchase likelihood and price tolerance, understand their antecedents, and predict the consequences of manipulating each one. It is noted that overall loyalty is not the only multidimensional constuct in mobile commerce. Recently, it was emperically demonstrated that perceived value of short messaging services is a second-order construct that consists of several independent yet correlated dimensions (Turel et al., 2007)


Author(s):  
Levent Görgü ◽  
Jie Wan ◽  
Gregory M.P. O’Hare ◽  
Michael J. O’Grady

Sensor infrastructures have been deployed in a variety of environments. Currently, many are fixed network configurations; however, Wireless Sensor Networks (WSNs) are likely to be predominant in the future as wireless technologies continue to evolve, facilitating greater transfer of data payloads such as wireless multimedia. Such a development offers new opportunities for innovative mobile services. For this to occur, there needs to be a greater convergence between conventional mobile computing platforms and sensor technologies, enabling service interoperability and integration. This is not an insurmountable difficulty. This chapter seeks how this issue can be addressed. It considers the state-of-the-art in pervasive sensing and mobile computing, explores the practical issue of engineering software solutions for mobile services that harness sensor components, and proposes a solution based on the intelligent agent paradigm.


Author(s):  
Michael Lenox ◽  
Jared D. Harris ◽  
Rebecca Goldberg

A product manager at Apple examines the past, present, and future of the PC industry in September 2011 in the wake of Steve Jobs's resignation and HP's announcement that it was exiting the PC industry in favor of enterprise software solutions and consulting. The protagonist thinks through current forces in the PC industry, including market share trends, mobile computing, ultrabooks, and cloud computing services—as well as the position of the Mac in Apple's product portfolio—and is faced with making a decision about the future of the Mac.


2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Fei Long

With the development and popularization of e-commerce and Internet, more and more attention has been paid to personalized recommendation for users. The traditional user interest model only considers the user’s behavior on the project, ignoring the user’s context at that time. Pointing to the shortage that context-related factors are not considered in previous works, combining the characteristics of a mobile computing environment, this paper studies the algorithm and model of mobile service recommendation. A recommendation algorithm based on specified context filtering in mobile computing environment is proposed. The context of the classification is aggregated, by grouping the scenarios of the same category together. Through experiments, we found that the improved personalized recommendation algorithms are superior to the common collaborative filtering algorithm.


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